Plotly Xticklabels are Wrong order when plotting muliple subplots

📊 Plotly Python
1

Note Stackoverflow link of same question: https://stackoverflow.com/questions/55342231/possible-bug-in-plotly-xticklabel-assigning-for-plot-with-muliple-plots

Question:
In the following image why correct category 28 is shown as category_5 in the xticklabel?
Xticklabel ordering seems to be wrong here, how can it be fixed?

wrong_xticklabel
wrong_xticklabel.png1158×582 33.8 KB

I checked the value of category_28 and it is correct, but why the plotly is showing it as the label Category_5?

import numpy as np
import pandas as pd
import plotly.plotly as py
import plotly.graph_objs as go
from plotly import tools
from plotly.offline import iplot, init_notebook_mode, plot
init_notebook_mode(connected=False) # open in new tab, not in jupyter

df = pd.read_csv('https://github.com/bhishanpdl/Datasets/blob/master/Historical%20Product%20Demand.csv?raw=true')
df['Date'] = pd.to_datetime(df['Date'])
df['Order_Demand'] = pd.to_numeric(df.Order_Demand, errors = 'coerce')
df = df.dropna()
df = df.sort_values('Date')
df['Year'] = df.Date.dt.year
df['Month'] = df.Date.dt.month
df.head()

def plot_category_vs_demand_all_years2(warehouse_name):
    df1 = pd.DataFrame(df[df['Warehouse'] == warehouse_name])

    # yearly data
    df1_yearly = []
    years = [2012,2013,2014,2015,2016]

    for year in years:
        df_this_year = (df1[df1['Year'] == year]
                .groupby('Product_Category', as_index=False)['Order_Demand']
                .mean()
                .sort_values('Order_Demand', ascending=False))

        df1_yearly.append(df_this_year)


    # traces
    traces = []
    for year, dfy in zip(years,df1_yearly):
        traces.append(go.Bar(x=dfy['Product_Category'],
                             y=dfy['Order_Demand'],
                             name='Year_' + str(year)))

    # create fig
    fig = tools.make_subplots(rows=2, cols=len(years))
    for i in range(len(years)):
        fig.append_trace(traces[i], 1, i+1)


    plot(fig, filename='stacked-subplots.html')

plot_category_vs_demand_all_years2('Whse_A')